Summary
A ~70% increase in food production is required to feed the world population by 2050, putting increased productivity on a collision course with environmental and sustainability goals. Aiming to meet this growing demand, photosynthesis-related pathways are regarded as a promising target for crop improvement to increase agricultural yield, however, they remain mostly unexploited. Furthermore, while empirical studies have shown that photosynthetic efficiency is higher in microalgae than in both C3 or C4 crops, the underlying reasons remain unclear. Identifying metabolic bottlenecks in photosynthetic cells remains a holy grail of plant research. However, with recent progress made in cross-kingdom plant flux analyses, the time is ripe to tackle photosynthetic metabolism with state-of-the-art experimental and computational approaches as a target for plant yield improvement.
In this project, I propose to address the following key questions: (1) What role is played by photosynthetic metabolism in setting the upper limits for growth of photosynthetic cells? and in this respect, (2) What makes some photosynthetic cells grow faster than others? We will combine cutting-edge tools for comparative flux analyses with genetic approaches applied on algae and higher-plants to identify and validate metabolic bottlenecks for plant growth as targets for crop yield improvement. These research aims fall well within my unique set of expertise. I’ve characterized the metabolism of the fastest growing photosynthetic cells, and mapped the metabolic networks of algae compared with C3 and C4 plant models, using a novel microfluidics setup which I developed, facilitating non-stationary stable isotope analysis at steady state conditions in liquid algal cultures. Successful outcome of this project will shed light on the magnitude of photosynthetic metabolism effects on plant growth and help reshape the field of targeting photosynthetic-related pathways for crop-plant yield improvements.
In this project, I propose to address the following key questions: (1) What role is played by photosynthetic metabolism in setting the upper limits for growth of photosynthetic cells? and in this respect, (2) What makes some photosynthetic cells grow faster than others? We will combine cutting-edge tools for comparative flux analyses with genetic approaches applied on algae and higher-plants to identify and validate metabolic bottlenecks for plant growth as targets for crop yield improvement. These research aims fall well within my unique set of expertise. I’ve characterized the metabolism of the fastest growing photosynthetic cells, and mapped the metabolic networks of algae compared with C3 and C4 plant models, using a novel microfluidics setup which I developed, facilitating non-stationary stable isotope analysis at steady state conditions in liquid algal cultures. Successful outcome of this project will shed light on the magnitude of photosynthetic metabolism effects on plant growth and help reshape the field of targeting photosynthetic-related pathways for crop-plant yield improvements.
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More information & hyperlinks
Web resources: | https://cordis.europa.eu/project/id/101076560 |
Start date: | 01-05-2023 |
End date: | 30-06-2028 |
Total budget - Public funding: | 1 937 500,00 Euro - 1 937 500,00 Euro |
Cordis data
Original description
A ~70% increase in food production is required to feed the world population by 2050, putting increased productivity on a collision course with environmental and sustainability goals. Aiming to meet this growing demand, photosynthesis-related pathways are regarded as a promising target for crop improvement to increase agricultural yield, however, they remain mostly unexploited. Furthermore, while empirical studies have shown that photosynthetic efficiency is higher in microalgae than in both C3 or C4 crops, the underlying reasons remain unclear. Identifying metabolic bottlenecks in photosynthetic cells remains a holy grail of plant research. However, with recent progress made in cross-kingdom plant flux analyses, the time is ripe to tackle photosynthetic metabolism with state-of-the-art experimental and computational approaches as a target for plant yield improvement.In this project, I propose to address the following key questions: (1) What role is played by photosynthetic metabolism in setting the upper limits for growth of photosynthetic cells? and in this respect, (2) What makes some photosynthetic cells grow faster than others? We will combine cutting-edge tools for comparative flux analyses with genetic approaches applied on algae and higher-plants to identify and validate metabolic bottlenecks for plant growth as targets for crop yield improvement. These research aims fall well within my unique set of expertise. I’ve characterized the metabolism of the fastest growing photosynthetic cells, and mapped the metabolic networks of algae compared with C3 and C4 plant models, using a novel microfluidics setup which I developed, facilitating non-stationary stable isotope analysis at steady state conditions in liquid algal cultures. Successful outcome of this project will shed light on the magnitude of photosynthetic metabolism effects on plant growth and help reshape the field of targeting photosynthetic-related pathways for crop-plant yield improvements.
Status
SIGNEDCall topic
ERC-2022-STGUpdate Date
31-07-2023
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